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An XAI-Guided Multi-Objective Feature Selection Method and Its Application to Intrusion Detection

https://doi.org/10.2139/ssrn.5935002
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inferredcites →https://doi.org/10.1007/978-1-4612-4380-9_23openalex-snapshot
On the Experimental Attainment of Optimum Conditions
inferredcites →https://doi.org/10.1007/bf02951333openalex-snapshot
The minimum feature subset selection problem
inferredcites →https://doi.org/10.1007/s00366-021-01369-9openalex-snapshot
A multi-objective optimization algorithm for feature selection problems
inferredcites →https://doi.org/10.1007/s10489-019-01503-7openalex-snapshot
Feature selection for intrusion detection using new multi-objective estimation of distribution algorithms
inferredcites →https://doi.org/10.1007/s10489-021-02550-9openalex-snapshot
A comprehensive survey on feature selection in the various fields of machine learning
inferredcites →https://doi.org/10.1007/s10586-025-05465-zopenalex-snapshot
An entropy-based multi-objective feature selection method for network intrusion detection
inferredcites →https://doi.org/10.1007/s11416-022-00441-2openalex-snapshot
XAI for intrusion detection system: comparing explanations based on global and local scope
inferredcites →https://doi.org/10.1016/j.comcom.2021.09.007openalex-snapshot
An adaptive method and a new dataset, UKM-IDS20, for the network intrusion detection system
inferredcites →https://doi.org/10.1016/j.comnet.2020.107183openalex-snapshot
A NSGA2-LR wrapper approach for feature selection in network intrusion detection
inferredcites →https://doi.org/10.1016/j.cor.2011.10.013openalex-snapshot
Some convergence-based M-ary cardinal metrics for comparing performances of multi-objective optimizers
inferredcites →https://doi.org/10.1016/j.dsm.2024.08.001openalex-snapshot
Effects of feature selection and normalization on network intrusion detection
inferredcites →https://doi.org/10.1016/j.dsm.2024.08.004openalex-snapshot
An explainable feature selection framework for web phishing detection with machine learning
inferredcites →https://doi.org/10.1016/j.ipm.2004.08.006openalex-snapshot
Information gain and divergence-based feature selection for machine learning-based text categorization
inferredcites →https://doi.org/10.1016/j.procs.2023.01.014openalex-snapshot
Hybrid Meta-Heuristic based Feature Selection Mechanism for Cyber-Attack Detection in IoT-enabled Networks
inferredcites →https://doi.org/10.1038/s41598-024-68342-6openalex-snapshot
Optimizing neural networks using spider monkey optimization algorithm for intrusion detection system
inferredcites →https://doi.org/10.1109/access.2020.2981373openalex-snapshot
A Many Objective-Based Feature Selection Model for Anomaly Detection in Cloud Environment
inferredcites →https://doi.org/10.1109/access.2024.3365140openalex-snapshot
E-XAI: Evaluating Black-Box Explainable AI Frameworks for Network Intrusion Detection
inferredcites →https://doi.org/10.1109/ccnc51644.2023.10059640openalex-snapshot
UNR-IDD: Intrusion Detection Dataset using Network Port Statistics
inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1142/s0219467818500171openalex-snapshot
An Analysis of CNN Feature Extractor Based on KL Divergence
inferredcites →https://doi.org/10.14569/ijacsa.2023.01405112openalex-snapshot
Enhancing Intrusion Detection Systems with XGBoost Feature Selection and Deep Learning Approaches
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.31185/wjps.257openalex-snapshot
Enhancing Intrusion Detection with Autoencoder Based Classifier and Statistical Feature Selection
inferredcites →https://doi.org/10.32629/jai.v7i3.1081openalex-snapshot
Network intrusion detection using ensemble weighted voting classifier based honeypot framework
inferredcites →https://doi.org/10.3390/app14104170openalex-snapshot
XAI-IDS: Toward Proposing an Explainable Artificial Intelligence Framework for Enhancing Network Intrusion Detection Systems
inferredcites →https://doi.org/10.3390/app15147984openalex-snapshot
A Novel Ensemble of Deep Learning Approach for Cybersecurity Intrusion Detection with Explainable Artificial Intelligence
inferredcites →https://doi.org/10.3390/diagnostics13111924openalex-snapshot
Automatic and Early Detection of Parkinson’s Disease by Analyzing Acoustic Signals Using Classification Algorithms Based on Recursive Feature Elimination Method
inferredcites →https://doi.org/10.52710/rjcse.66openalex-snapshot
Securing the Digital Perimeter Intrusion Detection for Robust Data Protection in Cybersecurity
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